• DocumentCode
    81284
  • Title

    Motor Imagery Learning Induced Changes in Functional Connectivity of the Default Mode Network

  • Author

    Ruiyang Ge ; Hang Zhang ; Li Yao ; Zhiying Long

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing, China
  • Volume
    23
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    138
  • Lastpage
    148
  • Abstract
    Numerous studies provide evidences that motor skill learning changes the activity of some brain regions during task as well as some resting networks during rest. However, it is still unclear how motor learning affects the resting-state default-mode network (DMN). Using functional magnetic resonance imaging, this study investigated the alteration of the DMN after motor skill learning with mental imagery practice. Fourteen participants in the experimental group learned to imagine a sequential finger movement over a two-week period while twelve control participants did not undergo motor imagery learning. For the experimental group, interregional connectivity, estimated by the graph theory method, between the medial temporal lobe, lateral temporal, and lateral parietal cortex within the DMN was increased after learning, whereas activity of the DMN network, estimated by the independent component analysis method, remained stable. Moreover, the experimental group showed significant improvement in motor performance after learning and a negative correlation between the alteration of the execution rate and changes in activity in the lateral parietal cortex. These results indicate that the DMN could be sculpted by motor learning in a manner of altering interregional connectivity and may imply that the DMN plays a role in improving behavioral performance.
  • Keywords
    biomechanics; biomedical MRI; brain; independent component analysis; learning (artificial intelligence); medical image processing; neurophysiology; DMN network; behavioral performance; brain regions; default mode network; functional connectivity; functional magnetic resonance imaging; graph theory method; independent component analysis method; interregional connectivity; lateral parietal cortex; medial temporal lobe; mental imagery practice; motor imagery learning induced changes; motor performance; motor skill learning; resting networks; resting-state default-mode network; sequential finger movement; Correlation; Educational institutions; Graph theory; Magnetic resonance imaging; Thumb; Training; Default mode network (DMN); functional magnetic resonance imaging (fMRI); graph theory; independent component analysis (ICA); motor learning;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2014.2332353
  • Filename
    6849455